Agritourism is an increasing new trend in the global tourism industry. Vietnam has a long tradition of agricultural production combined with diverse natural resources stretching from the north to the south, bringing advantages in the development of agritourism. The study aims to choose the most appropriate agritourism location in Vietnam for long-term investment. A hybrid fuzzy multi-criteria decision model (FMCDM) is proposed to find the optimal location based on eco-nomic, social, and environmental factors. In the first stage, the fuzzy analytic hierarchy process (FAHP) is used to estimate the relative criteria rating through the evaluation process. In the second stage, the fuzzy technique for order preference using similarities to ideal solution (FTOPSIS) is applied to rank the potential alternative locations. Finally, the best alternative to tourist site investment is Can Tho (A8), which maximizes resources and enhances the local benefits. Future research can also be used to support similar site-selection processes in other regions or could be applied to other types of tourism.
For tourists in the post-COVID era, it is a popular choice to experience nature and idyllic rural life in fields, gardens, and farms instead of crowding into high-level services in modern tourist destinations. This trend has created a focus on sustainable development within tourism. Agritourism is an alternative tourism experience that demonstrates high potential for the tourism industry while positively impacting agricultural production in rural areas. A suitable location selection process is essential to effectively developing agritourism and sustainability. However, the current literature on this issue is still limited. Therefore, this study introduces a combined decision-making model for optimal agritourism destination identification in the context of sustainable development. This research highlights the use of the spherical fuzzy set (SFSs), in which the spherical fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) determines the criteria’s importance in combination with their causal relationship, and the spherical fuzzy Evaluation based on Distance from Average Solution (EDAS) finds the alternative destinations’ priority. The model’s efficiency is illustrated through an empirical study of Vietnam and by a sensitivity analysis. The resulting research found that decision-makers should consider the factors of local living conditions (ASC10), and local agriculture products (ASC3) when investigating agritourism locations. Consequently, the optimal destination for sustainable agritourism development was found to be Lam Dong (AD9), which can efficiently promote tourism activities while increasing the value of agriculture in the countryside. These findings can assist decision-makers in selecting tourism sites in other regions and other tourism development projects.
The Association of Southeast Asian Nations (ASEAN) is an attractive tourist destination with diverse and unique experiences, in which Vietnam is considered one of the most famous destinations in this region. Quality evaluations and strategies for attracting international tourists are being thoroughly researched. However, the COVID-19 pandemic has had the most significant impact on the tourism industry, which has suffered greatly. Therefore, the recovery and expansion of international tourism necessitate the employment of tourism-related businesses and service sector workers. Extensive research must be conducted to identify solutions and new directions to recover the international tourist market’s growth as quickly as possible. This study identifies the factors that influence the destination of international visitors visiting Vietnam after the COVID-19 pandemic by modifying and evaluating the scales of the theoretical model. Using the convenience sampling technique, data were collected through interviews with 208 international visitors, with 29 observed variables. Using SPSS 22.0, five factors influencing international visitors’ decisions to visit Vietnam were revealed: tourist motivation, tourist attitude, destination image, social media, and environmental quality. Finally, the authors provide policy recommendations to enhance the allure and viability of Vietnam’s tourism following the effects of the COVID-19 pandemic. This study’s outcome is intended to establish the importance of the many variables influencing the choice of destination for international visitors.
Tourism is the economic sector most heavily influenced by COVID-19, and it has suffered unprecedented losses. The competitiveness and resilience of the tourism industry have recently become a topic of great concern for global stakeholders. A series of ambitious recovery strategies have been announced by countries to rebuild the tourism industry, that aim to make “smokeless industry” more resilient and sustainable. The objective of this study is to evaluate and rank the effectiveness of nine recovery strategies in the post-COVID-19 period for Vietnam’s tourism industry. A combined model of the Best–Worst Method (BWM) and the Group Best Worst Method (GBWM), an efficient tool using the multi-criteria decision-making (MCDM) approach, is used to rank the tourism solutions. The assessment process is carried out by six stakeholder groups considered decision makers, including tourism operators, enterprises, scholars, employees, residents, and tourists. In the context of Vietnam, the most influential tourism recovery strategy is using innovative tourism business models (ST2), which is a solid step forward in utilizing potential resources, meeting current tourism needs, and adapting to natural changes. The model results reflect that the tourism model’s restructuring is necessary to provide new types of experiences and entertainment suitable for the new tourism context. The findings illustrate that the priority of strategies depends on the perception of decision-makers, levels of involvement in the tourism industry, and local conditions. The study has contributed a theoretical framework for tourism recovery solutions and decision support in the post-pandemic stage. The model can be applied to other countries worldwide in improving tourism performance or assisting in decision-making for similar issues.
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